Senior UX Researcher - Product Insights

📍 Job Overview

Job Title: Senior UX Researcher - Product Insights

Company: Linda Werner & Associates (representing a leading global technology company)

Location: United States

Job Type: Contract, Temporary

Category: Product Insights & User Experience Research

Date Posted: March 20, 2026

Experience Level: Mid-Senior Level (7+ years)

Remote Status: Fully Remote

🚀 Role Summary

• This role focuses on leveraging deep user research expertise to drive product strategy and inform consumer growth initiatives within a prominent technology firm.

• The Senior UX Researcher will independently manage the full lifecycle of qualitative and quantitative research projects, from planning and execution to analysis and insight delivery.

• A key aspect of this position involves the responsible and effective utilization of AI-assisted tools to enhance research efficiency and output.

• The role demands strong analytical, synthesis, and communication skills to translate complex user data into actionable product recommendations for cross-functional teams.

📝 Enhancement Note: While the job title is Senior UX Researcher, the responsibilities and required experience level (7+ years) suggest a role that requires significant autonomy and strategic input, aligning with a mid-to-senior level in a dedicated research function. The focus on "consumer growth" and "product strategy" indicates a strong connection to business outcomes, making it relevant for operations professionals who value data-driven decision-making and process optimization for user acquisition and retention.

📈 Primary Responsibilities

• Lead comprehensive end-to-end qualitative and quantitative user research initiatives, including but not limited to interviews, surveys, diary studies, and usability testing.

• Develop detailed research plans, screeners, and discussion guides, ensuring alignment with specific project objectives and business goals.

• Strategically select and apply appropriate research methodologies based on evolving research questions, project constraints, and critical timelines.

• Analyze and synthesize both qualitative and quantitative data to identify critical patterns, themes, and actionable insights that directly inform product development and strategy.

• Translate research findings into clear, compelling narratives and concise stakeholder-facing presentations, reports, and readouts to influence product direction.

• Collaborate closely with Product Managers, Designers, Data Scientists, and other cross-functional partners to ensure research insights are understood, integrated, and acted upon.

• Utilize AI-assisted tools responsibly to support research tasks such as transcription, summarization, and thematic analysis, ensuring methodological rigor and data confidentiality.

• Manage multiple research projects concurrently, ensuring timely delivery of research outputs, proactive status updates, and adherence to high standards of quality and professional judgment.

• Contribute to the organization's broader goals related to AI fluency and research efficiency within the product development lifecycle.

📝 Enhancement Note: The responsibilities highlight a strong emphasis on process ownership and data-driven decision-making, core tenets of operations roles. The expectation to "lead end-to-end" research and "ensure research is understood and applied" points to a need for strong project management, stakeholder communication, and a focus on actionable outcomes, similar to GTM or RevOps roles that drive process improvements based on data.

🎓 Skills & Qualifications

Education:

• Bachelor’s degree in Human-Computer Interaction (HCI), Psychology, Sociology, Anthropology, Computer Science, or a related field is required.

Experience:

• Minimum of 7 years of dedicated experience conducting user research within industry, agency, or consulting settings, demonstrating a proven track record of impactful research delivery.

• Demonstrated ability to independently plan, execute, and manage end-to-end research projects utilizing a broad spectrum of qualitative and quantitative methods.

• Proven experience translating complex research findings into actionable product recommendations and strategic insights.

• Experience working effectively with cross-functional teams (Product, Design, Engineering, Data Science) in fast-paced, dynamic environments.

Required Skills:

• User Research Methodologies: Expertise in planning and executing a wide array of qualitative (e.g., interviews, ethnographic studies, diary studies) and quantitative (e.g., surveys, A/B testing analysis, usability testing) research methods.

• Analytical & Synthesis Skills: Advanced ability to analyze complex datasets, identify key themes, patterns, and derive actionable insights.

• Storytelling & Communication: Exceptional written and verbal communication skills, with a talent for crafting compelling narratives and presenting findings clearly to diverse audiences.

• AI-Assisted Research Tools: Fluency with AI tools used for research support, such as transcription, summarization, thematic analysis, and data synthesis, with an understanding of their ethical and methodological implications.

• Product Strategy Influence: Ability to connect research insights directly to product strategy, user experience design, and business decision-making processes.

• Cross-Functional Collaboration: Proven ability to partner effectively with Product, Design, Data Science, and other stakeholders to drive research adoption and impact.

• Project Management: Strong organizational skills with the ability to manage multiple projects, timelines, and stakeholder expectations independently.

Preferred Skills:

• Experience supporting consumer-facing digital products, with a focus on user engagement and retention.

• Familiarity with specific AI tools such as Claude, Gemini, or agent-based workflows for research applications.

• Experience working with international or distributed teams, understanding cultural nuances in research.

• Comfort working with growth-focused product metrics, funnels, and conversion optimization strategies.

• Ability to quickly acquire domain knowledge and understand complex technical concepts relevant to product development.

📝 Enhancement Note: The emphasis on "AI-assisted tools" and "growth-focused product metrics" is particularly relevant for operations professionals interested in modernizing research processes and understanding user behavior for business impact. The requirements for strong analytical and synthesis skills are directly transferable to operations roles focused on data analysis and strategic planning.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Research Case Studies: A portfolio showcasing 3-5 in-depth research projects, demonstrating the full research lifecycle from problem definition and planning to execution, analysis, and impact.

• Methodological Diversity: Evidence of applying a variety of research methodologies (qualitative and quantitative) and the ability to justify methodological choices based on project goals.

• Data Synthesis & Insights: Clear examples of how complex data was synthesized into actionable insights that directly influenced product decisions or strategy. Quantifiable impact on product outcomes is highly valued.

• Cross-Functional Collaboration Examples: Documentation or descriptions of how research was communicated and integrated with Product, Design, and Data Science teams to drive product improvements.

• AI Tool Integration: Examples or descriptions of how AI tools were used responsibly to enhance research efficiency, analysis, or reporting, while maintaining methodological integrity.

Process Documentation:

• Research Planning Documentation: Examples of research plans, including objectives, target audiences, methodologies, and timelines, demonstrating strategic foresight.

• Analysis & Synthesis Artifacts: Samples of data analysis frameworks, thematic maps, or synthesis documents that illustrate the process of deriving insights from raw data.

• Deliverable Formats: Demonstrations of various output formats, such as detailed reports, executive summaries, slide decks, or interactive presentations, tailored for different stakeholder needs.

• Process Improvement Contributions: If applicable, examples of contributions to improving research processes, tools, or team workflows within previous roles.

📝 Enhancement Note: For operations professionals, translating their experience into a portfolio that highlights process optimization, data-driven decision-making, and measurable impact is crucial. This section emphasizes how a UX Researcher's portfolio should demonstrate strategic planning, rigorous analysis, and effective communication of insights, mirroring the requirements for showcasing GTM or RevOps success.

💵 Compensation & Benefits

Salary Range:

Benefits:

• Dental insurance

• Health insurance

• Health savings account (HSA)

• Life insurance

• Paid time off (PTO)

• Retirement plan (e.g., 401k or similar)

Working Hours:

• This is a full-time role requiring an expected commitment of 40 hours per week.

• The schedule is Monday to Friday, with standard 8-hour shifts.

• The remote nature of the role offers flexibility in daily scheduling, though consistent availability for meetings and collaboration is expected.

📝 Enhancement Note: The salary estimate is based on research of contract UX Researcher roles in the United States with 7+ years of experience, considering the demand for specialized skills like AI-assisted research. Benefits are listed as provided in the job description, which are typical for contract positions through staffing agencies like Linda Werner & Associates.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology (specifically supporting a leading global technology company focused on consumer products).

Company Size: Implied to be large, given the description of a "leading global technology company" and "large product organization." This suggests a well-established, potentially matrixed organization with diverse teams and resources.

Founded: Not specified, but the description implies a company with a mature product portfolio and established research practices.

Team Structure:

• The role supports a dedicated consumer growth research team within a larger product organization.

• The Senior UX Researcher will collaborate closely with other researchers on the team, fostering a collaborative yet independent research environment.

Methodology:

• The team likely employs a mix of agile and research-driven methodologies, balancing rapid iteration with deep user understanding.

• Emphasis is placed on data-driven decision-making, utilizing both qualitative insights and quantitative metrics to guide product strategy.

• There's an explicit focus on integrating AI-assisted tools to enhance research efficiency and analytical capabilities, suggesting a forward-thinking approach to research operations.

Company Website: The hiring is facilitated by Linda Werner & Associates, but the end client is a "leading global technology company." Further details on the specific client company would need to be sought through the agency.

📝 Enhancement Note: The context of a "leading global technology company" suggests a sophisticated operational environment where research plays a strategic role. For operations professionals, understanding how research informs product lifecycle management, growth strategies, and resource allocation is key. The mention of AI fluency indicates a company culture that embraces technological innovation.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned at a mid-to-senior level within the research function. It requires independent project ownership, strategic thinking, and the ability to influence product direction, going beyond execution to strategic contribution.

Reporting Structure: The Senior UX Researcher will report to a manager or lead within the consumer growth research team. They will collaborate closely with cross-functional partners, including Product Managers and Designers, who may have different reporting lines.

Operations Impact: The core impact of this role is through generating high-quality, actionable user insights that directly inform product strategy, design decisions, and ultimately, consumer growth metrics. This involves optimizing the user journey, identifying friction points, and validating new features for improved adoption and retention, all critical to business operations.

Growth Opportunities:

• Specialization in AI Research: Opportunity to deepen expertise in leveraging AI tools for research efficiency and advanced analysis, a growing field within operations and research.

• Consumer Growth Expertise: Gaining deep experience in consumer-facing products and growth strategies, valuable for roles in product marketing, growth operations, or customer success.

• Cross-Functional Leadership: Developing strong stakeholder management and influencing skills by working with diverse product teams, paving the way for leadership roles in research or product management.

• Project Portfolio Expansion: Building a robust portfolio of impactful research projects for a well-known technology company, enhancing future career prospects.

📝 Enhancement Note: For operations professionals, this role offers a unique intersection of research, product development, and business growth. The emphasis on AI and growth metrics provides tangible areas for skill development that are highly relevant to modern operations functions. The ability to "influence product direction" signifies a strategic contribution that operations leaders often strive for.

🌐 Work Environment

Office Type: This is a fully remote role, operating within a distributed work environment.

Office Location(s): The role is based in the United States, allowing remote work from anywhere within the country.

Workspace Context:

• Collaborative Environment: While remote, the role necessitates strong virtual collaboration skills through video conferencing, messaging platforms, and shared documentation tools.

• Tools & Technology: Access to advanced research tools, AI platforms, and standard productivity software will be essential. The company is described as AI-forward, suggesting modern technology stacks.

• Team Interaction: Regular interaction with the consumer growth research team and cross-functional partners is expected, fostering a sense of connection and shared purpose despite the remote setup.

Work Schedule:

• Standard 40-hour work week, Monday to Friday.

• While the schedule is structured, remote work often allows for some flexibility in managing daily tasks, provided core meeting times and deadlines are met. This flexibility can be beneficial for integrating with other operational responsibilities.

📝 Enhancement Note: The remote, contract nature of this role requires a high degree of self-discipline and proactive communication. For operations professionals, this environment can offer a balance between focused, independent work and the need for constant virtual engagement with stakeholders to drive process adoption and efficiency.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A screening call with a recruiter from Linda Werner & Associates to assess basic qualifications, experience, and fit for the contract role.

• Hiring Manager Interview: An interview with the hiring manager (likely a Research Lead or Product Lead) focusing on research methodology, strategic thinking, and experience with consumer growth.

• Portfolio Review & Presentation: A dedicated session where candidates present 1-2 key case studies from their portfolio, demonstrating their research process, analytical skills, and the impact of their work.

• Cross-Functional Interview: An interview with key cross-functional stakeholders (e.g., Product Manager, Designer) to assess collaboration skills, communication style, and ability to integrate research into product development workflows.

• AI Tool Proficiency Assessment: Questions or a brief exercise to gauge familiarity and responsible use of AI-assisted research tools.

Portfolio Review Tips:

• Focus on Impact: Clearly articulate the problem, your approach, the insights derived, and the tangible impact of your research on product decisions and business outcomes. Quantify results where possible.

• Showcase Methodology: Be prepared to discuss your rationale for choosing specific research methods and how you adapted them to project constraints.

• Demonstrate Synthesis: Highlight your ability to synthesize complex qualitative and quantitative data into clear, actionable themes and recommendations.

• Highlight Collaboration: Use examples that show how you effectively partnered with product, design, and data science teams to ensure research was understood and utilized.

• Address AI Usage: Be ready to discuss specific AI tools used, their benefits, limitations, and how you ensured ethical and methodologically sound application.

Challenge Preparation:

• Candidates may be asked to discuss how they would approach a hypothetical research problem related to consumer growth or a specific product feature.

• Prepare to articulate your thought process for developing a research plan under tight deadlines and with limited resources.

• Practice presenting your case studies concisely and engagingly, anticipating questions about your decision-making and the impact of your work.

📝 Enhancement Note: The portfolio review is critical. Operations professionals should frame their past projects using frameworks that highlight process improvements, data analysis, efficiency gains, and ROI, mirroring the expectations for a UX Researcher's impact-driven portfolio. The emphasis on AI tools suggests preparing to discuss practical applications and ethical considerations.

🛠 Tools & Technology Stack

Primary Tools:

• User Research Platforms: Familiarity with tools for conducting surveys, usability testing, and managing participant recruitment.

• AI-Assisted Research Tools: Explicit requirement for fluency with AI tools for tasks like transcription (e.g., Otter.ai, Fireflies.ai), summarization (e.g., Claude, Gemini, ChatGPT), thematic analysis, and potentially sentiment analysis.

• Collaboration Tools: Proficiency with tools like Slack, Microsoft Teams, Google Workspace, or similar for communication and virtual collaboration.

• Project Management Software: Experience with tools such as Asana, Jira, Trello, or Monday.com for managing project timelines and tasks.

Analytics & Reporting:

• Data Analysis Software: Experience with tools for analyzing quantitative data, such as Excel, Google Sheets, SPSS, or R/Python for statistical analysis.

• Visualization Tools: Familiarity with tools like Tableau, Power BI, or Google Data Studio for creating dashboards and visualizing research findings.

• Qualitative Data Analysis (QDA) Software: Experience with tools such as NVivo, Dovetail, or ATLAS.ti for organizing and analyzing qualitative data.

CRM & Automation:

• While not directly a CRM or automation role, understanding how research insights can feed into CRM strategies or automate user feedback loops is beneficial. Familiarity with how user data is managed within a CRM context (e.g., Salesforce, HubSpot) can be advantageous.

• Survey Platforms: Tools like SurveyMonkey, Typeform, Qualtrics, or Google Forms for designing and deploying surveys.

📝 Enhancement Note: The explicit mention of AI-assisted tools is a significant differentiator. Operations professionals should highlight any experience with AI in data analysis, reporting, or workflow automation, as this directly maps to the company's stated interest in AI fluency. Understanding how research data integrates with broader business intelligence and CRM systems is also a valuable operational perspective.

👥 Team Culture & Values

Operations Values:

• Data-Driven Decisions: A strong emphasis on using user data and insights to inform strategic choices and product development.

• User-Centricity: A core value of understanding and prioritizing the needs and experiences of the end-user in all product-related decisions.

• Efficiency & Agility: Embracing AI tools and streamlined processes to conduct research effectively and deliver insights rapidly in a fast-paced environment.

• Collaboration & Communication: Valuing open communication and strong partnerships across Product, Design, and Data Science to ensure research has maximum impact.

• Professional Independence: Expectation for researchers to manage their own projects, apply sound judgment, and maintain high standards of methodological rigor.

Collaboration Style:

• Proactive & Cross-Functional: The team expects researchers to be proactive in engaging with stakeholders, understanding their needs, and integrating research into ongoing product discussions.

• Transparent & Iterative: A culture of sharing findings openly, seeking feedback, and iterating on research approaches and deliverables.

• Mentorship & Knowledge Sharing: Within the research team, there's likely a culture of sharing best practices, learning from each other, and supporting continuous development, especially around new technologies like AI.

📝 Enhancement Note: For operations professionals, understanding these values is key to assessing cultural fit. The emphasis on data-driven decisions, efficiency, and collaboration aligns perfectly with the core principles of revenue and sales operations. Demonstrating how your operational experience supports these values will be crucial.

⚡ Challenges & Growth Opportunities

Challenges:

• Balancing Speed and Rigor: The need to deliver high-impact research quickly in a fast-paced consumer growth environment without compromising methodological quality.

• AI Tool Integration & Ethics: Responsibly integrating AI tools into research workflows, ensuring data privacy, accuracy, and avoiding bias, while staying ahead of technological advancements.

• Driving Actionability: Ensuring that research insights are not just delivered but are actively understood and acted upon by cross-functional teams to drive tangible product improvements and growth.

• Navigating a Large Organization: Understanding how to effectively influence product direction and gain buy-in within a large, potentially complex global technology company.

Learning & Development Opportunities:

• AI Research Specialization: Gaining hands-on experience with cutting-edge AI tools for research, positioning yourself as an expert in this emerging domain.

• Consumer Growth Domain Expertise: Deepening understanding of user acquisition, retention, and engagement strategies for large-scale consumer products.

• Advanced Methodologies: Opportunity to refine and expand expertise in a wide range of qualitative and quantitative research techniques.

• Cross-Functional Influence: Developing highly sought-after skills in stakeholder management, communication, and influencing strategic decisions at a senior level.

📝 Enhancement Note: The challenges presented are common in high-impact operations roles – balancing speed with quality, adopting new technologies, driving adoption of insights, and navigating organizational complexity. The growth opportunities highlight transferable skills valuable in operations, particularly around data analysis, strategic influence, and technological adoption.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you used qualitative and quantitative research methods to solve a complex product problem related to user growth. What was your process, and what was the outcome?" (Focus on demonstrating end-to-end ownership, methodological rigor, and impact.)

• "How have you leveraged AI-assisted tools in your research workflow? What benefits did you see, and what were the challenges or ethical considerations you managed?" (Prepare specific examples of tools and applications.)

Company & Culture Questions:

• "What interests you about working on consumer growth initiatives for a leading global technology company?" (Show genuine interest and understanding of the company's domain.)

• "How do you ensure your research findings are understood and acted upon by product and design teams?" (Focus on communication, collaboration, and driving adoption.)

Portfolio Presentation Strategy:

• Structure for Impact: For each case study, clearly outline the Business Problem/Goal, Your Role, Research Methods Used, Key Findings/Insights, Recommendations, and the Resulting Impact (quantified if possible).

• Tell a Story: Frame your projects as compelling narratives that showcase your problem-solving skills and strategic thinking.

• Be Ready for Deep Dives: Anticipate questions about your specific contributions, methodological choices, data analysis process, and how you handled challenges.

• Highlight AI Integration: If a project involved AI tools, be prepared to discuss its specific role and benefits.

📝 Enhancement Note: For operations candidates, framing their experience within these interview question types is key. For example, when discussing "product problems," operations professionals can relate it to process bottlenecks or inefficiencies that impact customer acquisition or retention. The emphasis on AI tools means preparing to discuss how technology can optimize workflows and improve outcomes.

📌 Application Steps

To apply for this operations-aligned UX research position:

• Submit your application through the provided Greenhouse link.

• Curate Your Portfolio: Select 2-3 of your most impactful research projects that best demonstrate your end-to-end research capabilities, your experience with AI tools, and your ability to drive consumer growth. Ensure each project clearly outlines the problem, your process, insights, and measured impact.

• Tailor Your Resume: Highlight your 7+ years of experience, specific research methodologies used, proficiency with AI-assisted research tools, and experience collaborating with Product, Design, and Data Science teams. Use keywords like "user research," "qualitative," "quantitative," "data analysis," "synthesis," "product strategy," "consumer growth," and "AI-enabled research."

• Prepare Your Presentation: Practice presenting your chosen portfolio case studies concisely, focusing on the story and impact. Be ready to articulate your thinking process and answer detailed questions about your methodology and findings.

• Research the Client (if possible): While the direct client is not named, understand the general landscape of leading global technology companies and their focus on consumer products and growth. Consider how your research skills can contribute to such an environment.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with Linda Werner & Associates or the hiring organization before making application decisions.